Alternatives and similar repositories for spacetimeformer

Users that are interested in spacetimeformer are comparing it to the libraries listed below

• AIStream-Peelout / flow-forecast
  Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
  ☆2,244Updated last week
• ServiceNow / N-BEATS
  N-BEATS is a neural-network based model for univariate timeseries forecasting. N-BEATS is a ServiceNow Research project that was started …
  ☆588Updated 3 years ago
• gzerveas / mvts_transformer
  Multivariate Time Series Transformer, public version
  ☆852Updated last month
• JulesBelveze / time-series-autoencoder
  PyTorch Dual-Attention LSTM-Autoencoder For Multivariate Time Series
  ☆696Updated 7 months ago
• maxjcohen / transformer
  Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.
  ☆901Updated 2 years ago
• zalandoresearch / pytorch-ts
  PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend
  ☆1,338Updated last year
• cure-lab / SCINet
  The GitHub repository for the paper: “Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction“. (NeurIPS 2…
  ☆661Updated 2 years ago
• KasperGroesLudvigsen / influenza_transformer
  PyTorch implementation of Transformer model used in "Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case"
  ☆258Updated 3 years ago
• oliverguhr / transformer-time-series-prediction
  proof of concept for a transformer-based time series prediction model
  ☆1,434Updated 2 years ago
• philipperemy / n-beats
  Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.
  ☆894Updated 2 years ago
• nok-halfspace / Transformer-Time-Series-Forecasting
  ☆395Updated 4 years ago
• DaoSword / Time-Series-Forecasting-and-Deep-Learning
  Resources about time series forecasting and deep learning.
  ☆726Updated last week
• mattsherar / Temporal_Fusion_Transform
  Pytorch Implementation of Google's TFT
  ☆274Updated 5 years ago
• thuml / Nonstationary_Transformers
  Code release for "Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting" (NeurIPS 2022), https://arxiv.org/a…
  ☆542Updated last year
• laiguokun / multivariate-time-series-data
  ☆855Updated 8 years ago
• salesforce / DeepTime
  PyTorch code for Learning Deep Time-index Models for Time Series Forecasting (ICML 2023)
  ☆364Updated 5 months ago
• cure-lab / Awesome-time-series
  A comprehensive survey on the time series domains
  ☆538Updated last year
• dehoyosb / temporal_fusion_transformer_pytorch
  ☆232Updated 5 years ago
• mlpotter / Transformer_Time_Series
  Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting (NeurIPS 2019)
  ☆593Updated 2 years ago
• WenjieDu / SAITS
  The official PyTorch implementation of the paper "SAITS: Self-Attention-based Imputation for Time Series". A fast and state-of-the-art (S…
  ☆463Updated 3 weeks ago
• lixus7 / Time-Series-Works-Conferences
  Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)
  ☆917Updated 7 months ago
• zhykoties / TimeSeries
  Implementation of deep learning models for time series in PyTorch.
  ☆394Updated 5 years ago
• zhihanyue / ts2vec
  A universal time series representation learning framework
  ☆770Updated last year
• LongxingTan / Time-series-prediction
  tfts: Time Series Deep Learning Models in TensorFlow
  ☆868Updated 2 weeks ago
• cchallu / nbeatsx
  ☆205Updated 3 years ago
• cure-lab / LTSF-Linear
  [AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"
  ☆2,331Updated last year
• shunyaoshih / TPA-LSTM
  Temporal Pattern Attention for Multivariate Time Series Forecasting
  ☆731Updated 6 years ago
• salesforce / ETSformer
  PyTorch code for ETSformer: Exponential Smoothing Transformers for Time-series Forecasting
  ☆291Updated last year
• lkulowski / LSTM_encoder_decoder
  Build a LSTM encoder-decoder using PyTorch to make sequence-to-sequence prediction for time series data
  ☆434Updated 4 years ago
• angus924 / rocket
  ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels
  ☆451Updated 3 years ago